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Measuring orthographic transparency and morphological-syllabic complexity in alphabetic orthographies: a narrative review

a narrative review
Authors: Elisabeth Borleffs; Ben A. M. Maassen; Heikki Lyytinen; Frans Zwarts;

Measuring orthographic transparency and morphological-syllabic complexity in alphabetic orthographies: a narrative review

Abstract

This narrative review discusses quantitative indices measuring differences between alphabetic languages that are related to the process of word recognition. The specific orthography that a child is acquiring has been identified as a central element influencing reading acquisition and dyslexia. However, the development of reliable metrics to measure differences between language scripts hasn't received much attention so far. This paper therefore reviews metrics proposed in the literature for quantifying orthographic transparency, syllabic complexity, and morphological complexity of alphabetic languages. The review included searches of Web of Science, PubMed, PsychInfo, Google Scholar, and various online sources. Search terms pertained to orthographic transparency, morphological complexity, and syllabic complexity in relation to reading acquisition, and dyslexia. Although the predictive value of these metrics is promising, more research is needed to validate the value of the metrics discussed and to understand the 'developmental footprint' of orthographic transparency, morphological complexity, and syllabic complexity in the lexical organization and processing strategies.

Country
Netherlands
Keywords

Syllabic complexity, EUROPEAN ORTHOGRAPHIES, muoto-oppi (kielitiede), Article, CONSONANT CLUSTERS, SPEECH RHYTHM, syllabic complexity, Psychology, LANGUAGES, Orthographic transparency, FAMILIAL RISK, tavutus, LITERACY ACQUISITION, Morphological complexity, Measures, Psykologia, READING ACQUISITION, orthographic transparency, TOKEN RATIO, WORD RECOGNITION, DEVELOPMENTAL DYSLEXIA, mitat, morphological complexity

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    55
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
55
Top 1%
Top 10%
Top 10%
Green
hybrid